separation

GUI for a Vocal Remover that uses Deep Neural Networks.

ODAS: Open embeddeD Audition System

Ultimate Vocal Remover 5 with Gradio UI. Separate an audio file into various stems, using multiple models

The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation

A desktop visualization GUI for the ODAS library

The BEST music separation model with help of A.I. ... to my ears ! 👂👂

Separation of upstream and downstream traffic.

Poisson pseudo-likelihood regression with multiple levels of fixed effects

Ultimate Vocal Remover CLI type for Google Colab

This GitHub repository explores the topics of privacy, anonymity and compartmentalization. These concepts are interrelated and essential for protecting one’s identity, data and online activities from unwanted surveillance, tracking and interference.

Ultimate Vocal Remover for Google Colab

Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.

[NeurIPS 2025] Separate Anything in Audio with Zero Training

Pack cuda environment for bytesep music separation and provide a simple gui.

A package for decomposing multi-channel EMG signals into individual motor unit activity.

Time-domain Audio Separation Network (IN PYTORCH)

SP-TFF code package aims to present a methodology for high-resolution polarization analysis and filtering of seismic signals in the TF-domain. The main developments in this research work are: (a) reformulation of the eigenvalue decomposition polarization analysis (EDPA) in TF-domain, (b) combining the SP-TFR to the formulation to obtain high-resolution TF-domains polarization parameters for discriminating nearby seismic phases, and (c) incorporating TF-domain directivity, rectilinearity, and amplitude attributes to extract (or eliminate) different seismic phases. The main focus is to discriminate between Love and Rayleigh from the body and coda waves.

[🏆 IJCV 2025 & ACCV 2024 Best Paper Honorable Mention] Official pytorch implementation of the paper "High-Quality Visually-Guided Sound Separation from Diverse Categories"

Translation from FOL to LTL+Past and LTL, via separation of LTL+Past

This code allows users to simulate ions confined between material surfaces that are nanometers apart, and extract the associated ionic structure.